Usefulness of Two-Dimensional Strain Echocardiography to Predict Segmental Viability Following Acute Myocardial Infarction and Optimization Using Bayesian Logistic Spatial Modeling
Viability assessment after acute myocardial infarction (MI) is important to guide revascularization. Two-dimensional strain echocardiography was shown to predict viability, but the method assumed that strain in each segment is independent of contiguous segments. The aim of this study was to test the...
Saved in:
| Published in | The American journal of cardiology Vol. 104; no. 8; pp. 1023 - 1029 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York, NY
Elsevier Inc
15.10.2009
Elsevier Elsevier Limited |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0002-9149 1879-1913 1879-1913 |
| DOI | 10.1016/j.amjcard.2009.05.049 |
Cover
| Abstract | Viability assessment after acute myocardial infarction (MI) is important to guide revascularization. Two-dimensional strain echocardiography was shown to predict viability, but the method assumed that strain in each segment is independent of contiguous segments. The aim of this study was to test the hypotheses that segmental strain after MI is spatially correlated and that using a Bayesian approach improves the prediction of nonviable myocardium. Twenty-one subjects (mean age 58 ± 12 years, 6 women) with MI ≥2 weeks before recruitment underwent 2-dimensional strain echocardiography and late gadolinium enhancement (LGE) cardiac magnetic resonance imaging within 48 hours of each other. The heart was divided into 16 segments, and longitudinal, radial, and circumferential strains were measured using software. Using similar segmentation, LGE was measured, and segments with >50% LGE were considered nonviable. Spearman's analyses were used to assess the spatial correlation of strain, and receiver-operating characteristic curve analysis was used to determine the prediction of nonviable myocardium without and with a Bayesian logistic spatial conditionally autoregressive (CAR) model. There was a significant spatial correlation in strain and LGE among segments, especially in the apex. Longitudinal strain was the best predictor of nonviability and was impaired in nonviable myocardium (−12.1 ± 0.6%, −8.0 ± 0.6%, and −4.6 ± 1% for 0%, 1% to 50%, and >50% LGE, respectively, p <0.001). Use of the CAR model improved the area under the curve for the detection of nonviable myocardium (from 0.7 to 0.94). A CAR probabilistic score of 0.17 had 88% sensitivity and 86% specificity for detecting nonviable myocardium. In conclusion, longitudinal strain from 2-dimensional strain echocardiography can predict myocardial viability after MI, and exploiting spatial correlations in segmental strain using Bayesian CAR modeling enhances the ability of 2-dimensional strain to predict nonviable myocardium. |
|---|---|
| AbstractList | Viability assessment after acute myocardial infarction (MI) is important to guide revascularization. Two-dimensional strain echocardiography was shown to predict viability, but the method assumed that strain in each segment is independent of contiguous segments. The aim of this study was to test the hypotheses that segmental strain after MI is spatially correlated and that using a Bayesian approach improves the prediction of nonviable myocardium. Twenty-one subjects (mean age 58 ± 12 years, 6 women) with MI ≥2 weeks before recruitment underwent 2-dimensional strain echocardiography and late gadolinium enhancement (LGE) cardiac magnetic resonance imaging within 48 hours of each other. The heart was divided into 16 segments, and longitudinal, radial, and circumferential strains were measured using software. Using similar segmentation, LGE was measured, and segments with >50% LGE were considered nonviable. Spearman's analyses were used to assess the spatial correlation of strain, and receiver-operating characteristic curve analysis was used to determine the prediction of nonviable myocardium without and with a Bayesian logistic spatial conditionally autoregressive (CAR) model. There was a significant spatial correlation in strain and LGE among segments, especially in the apex. Longitudinal strain was the best predictor of nonviability and was impaired in nonviable myocardium (−12.1 ± 0.6%, −8.0 ± 0.6%, and −4.6 ± 1% for 0%, 1% to 50%, and >50% LGE, respectively, p <0.001). Use of the CAR model improved the area under the curve for the detection of nonviable myocardium (from 0.7 to 0.94). A CAR probabilistic score of 0.17 had 88% sensitivity and 86% specificity for detecting nonviable myocardium. In conclusion, longitudinal strain from 2-dimensional strain echocardiography can predict myocardial viability after MI, and exploiting spatial correlations in segmental strain using Bayesian CAR modeling enhances the ability of 2-dimensional strain to predict nonviable myocardium. Viability assessment after acute myocardial infarction (MI) is important to guide revascularization. Two-dimensional strain echocardiography was shown to predict viability, but the method assumed that strain in each segment is independent of contiguous segments. The aim of this study was to test the hypotheses that segmental strain after MI is spatially correlated and that using a Bayesian approach improves the prediction of nonviable myocardium. Twenty-one subjects (mean age 58 ± 12 years, 6 women) with MI ≥2 weeks before recruitment underwent 2-dimensional strain echocardiography and late gadolinium enhancement (LGE) cardiac magnetic resonance imaging within 48 hours of each other. The heart was divided into 16 segments, and longitudinal, radial, and circumferential strains were measured using software. Using similar segmentation, LGE was measured, and segments with >50% LGE were considered nonviable. Spearman's analyses were used to assess the spatial correlation of strain, and receiver-operating characteristic curve analysis was used to determine the prediction of nonviable myocardium without and with a Bayesian logistic spatial conditionally autoregressive (CAR) model. There was a significant spatial correlation in strain and LGE among segments, especially in the apex. Longitudinal strain was the best predictor of nonviability and was impaired in nonviable myocardium (-12.1 ± 0.6%, -8.0 ± 0.6%, and -4.6 ± 1% for 0%, 1% to 50%, and >50% LGE, respectively, p <0.001). Use of the CAR model improved the area under the curve for the detection of nonviable myocardium (from 0.7 to 0.94). A CAR probabilistic score of 0.17 had 88% sensitivity and 86% specificity for detecting nonviable myocardium. In conclusion, longitudinal strain from 2-dimensional strain echocardiography can predict myocardial viability after MI, and exploiting spatial correlations in segmental strain using Bayesian CAR modeling enhances the ability of 2-dimensional strain to predict nonviable myocardium. [PUBLICATION ABSTRACT] Viability assessment after acute myocardial infarction (MI) is important to guide revascularization. Two-dimensional strain echocardiography was shown to predict viability, but the method assumed that strain in each segment is independent of contiguous segments. The aim of this study was to test the hypotheses that segmental strain after MI is spatially correlated and that using a Bayesian approach improves the prediction of nonviable myocardium. Twenty-one subjects (mean age 58 +/- 12 years, 6 women) with MI >or=2 weeks before recruitment underwent 2-dimensional strain echocardiography and late gadolinium enhancement (LGE) cardiac magnetic resonance imaging within 48 hours of each other. The heart was divided into 16 segments, and longitudinal, radial, and circumferential strains were measured using software. Using similar segmentation, LGE was measured, and segments with >50% LGE were considered nonviable. Spearman's analyses were used to assess the spatial correlation of strain, and receiver-operating characteristic curve analysis was used to determine the prediction of nonviable myocardium without and with a Bayesian logistic spatial conditionally autoregressive (CAR) model. There was a significant spatial correlation in strain and LGE among segments, especially in the apex. Longitudinal strain was the best predictor of nonviability and was impaired in nonviable myocardium (-12.1 +/- 0.6%, -8.0 +/- 0.6%, and -4.6 +/- 1% for 0%, 1% to 50%, and >50% LGE, respectively, p <0.001). Use of the CAR model improved the area under the curve for the detection of nonviable myocardium (from 0.7 to 0.94). A CAR probabilistic score of 0.17 had 88% sensitivity and 86% specificity for detecting nonviable myocardium. In conclusion, longitudinal strain from 2-dimensional strain echocardiography can predict myocardial viability after MI, and exploiting spatial correlations in segmental strain using Bayesian CAR modeling enhances the ability of 2-dimensional strain to predict nonviable myocardium. Viability assessment following acute myocardial infarction (MI) is important to guide revascularization. Two-dimensional strain echocardiography (2DSE) was shown to predict viability but the methodology assumed strain in each segment is independent of contiguous segments. We tested the hypotheses that segmental strain post-MI are spatially correlated and that using Bayesian approach improves prediction of non-viable myocardium. 21 subjects (58±12 years, 6 females) with ≥2 weeks MI underwent 2DSE and late gadolinium enhancement (LGE) cardiac magnetic resonance imaging within 48-hours of each other. The heart was divided into 16 segments and longitudinal, radial and circumferential strains were measured using software. Using similar segmentation, LGE was measured and segments with >50% LGE were considered nonviable. Spearman analyses assessed spatial correlation of strain and receiver operating characteristic curve analysis was used to determine prediction of non-viable myocardium without and with Bayesian logistic spatial conditionally autoregressive (CAR) model. There is significant spatial correlation in strain and LGE, especially in the apex. Longitudinal strain was the best predictor of non-viability and was impaired in non-viable myocardium (-12.1±0.6, -8.0±0.6 and -4.6±1% for 0, 1-50, >50% LGE, respectively, p<0.001). Use of CAR model improved the area under the curve for detection of non-viable myocardium (0.7 to 0.94). A CAR probabilistic score of 0.17 had 88% sensitivity and 86% specificity for detecting non-viable myocardium. In conclusion, longitudinal strain from 2DSE can predict myocardial viability following MI and exploiting spatial correlations in segmental strain using Bayesian CAR enhances the ability of 2D strain to predict non-viable myocardium. Viability assessment after acute myocardial infarction (MI) is important to guide revascularization. Two-dimensional strain echocardiography was shown to predict viability, but the method assumed that strain in each segment is independent of contiguous segments. The aim of this study was to test the hypotheses that segmental strain after MI is spatially correlated and that using a Bayesian approach improves the prediction of nonviable myocardium. Twenty-one subjects (mean age 58 +/- 12 years, 6 women) with MI >or=2 weeks before recruitment underwent 2-dimensional strain echocardiography and late gadolinium enhancement (LGE) cardiac magnetic resonance imaging within 48 hours of each other. The heart was divided into 16 segments, and longitudinal, radial, and circumferential strains were measured using software. Using similar segmentation, LGE was measured, and segments with >50% LGE were considered nonviable. Spearman's analyses were used to assess the spatial correlation of strain, and receiver-operating characteristic curve analysis was used to determine the prediction of nonviable myocardium without and with a Bayesian logistic spatial conditionally autoregressive (CAR) model. There was a significant spatial correlation in strain and LGE among segments, especially in the apex. Longitudinal strain was the best predictor of nonviability and was impaired in nonviable myocardium (-12.1 +/- 0.6%, -8.0 +/- 0.6%, and -4.6 +/- 1% for 0%, 1% to 50%, and >50% LGE, respectively, p <0.001). Use of the CAR model improved the area under the curve for the detection of nonviable myocardium (from 0.7 to 0.94). A CAR probabilistic score of 0.17 had 88% sensitivity and 86% specificity for detecting nonviable myocardium. In conclusion, longitudinal strain from 2-dimensional strain echocardiography can predict myocardial viability after MI, and exploiting spatial correlations in segmental strain using Bayesian CAR modeling enhances the ability of 2-dimensional strain to predict nonviable myocardium.Viability assessment after acute myocardial infarction (MI) is important to guide revascularization. Two-dimensional strain echocardiography was shown to predict viability, but the method assumed that strain in each segment is independent of contiguous segments. The aim of this study was to test the hypotheses that segmental strain after MI is spatially correlated and that using a Bayesian approach improves the prediction of nonviable myocardium. Twenty-one subjects (mean age 58 +/- 12 years, 6 women) with MI >or=2 weeks before recruitment underwent 2-dimensional strain echocardiography and late gadolinium enhancement (LGE) cardiac magnetic resonance imaging within 48 hours of each other. The heart was divided into 16 segments, and longitudinal, radial, and circumferential strains were measured using software. Using similar segmentation, LGE was measured, and segments with >50% LGE were considered nonviable. Spearman's analyses were used to assess the spatial correlation of strain, and receiver-operating characteristic curve analysis was used to determine the prediction of nonviable myocardium without and with a Bayesian logistic spatial conditionally autoregressive (CAR) model. There was a significant spatial correlation in strain and LGE among segments, especially in the apex. Longitudinal strain was the best predictor of nonviability and was impaired in nonviable myocardium (-12.1 +/- 0.6%, -8.0 +/- 0.6%, and -4.6 +/- 1% for 0%, 1% to 50%, and >50% LGE, respectively, p <0.001). Use of the CAR model improved the area under the curve for the detection of nonviable myocardium (from 0.7 to 0.94). A CAR probabilistic score of 0.17 had 88% sensitivity and 86% specificity for detecting nonviable myocardium. In conclusion, longitudinal strain from 2-dimensional strain echocardiography can predict myocardial viability after MI, and exploiting spatial correlations in segmental strain using Bayesian CAR modeling enhances the ability of 2-dimensional strain to predict nonviable myocardium. |
| Author | Migrino, Raymond Q. Brahmbhatt, Tejas Ahn, Kwang Woo Jurva, Jason Harmann, Leanne Pajewski, Nicholas M. |
| AuthorAffiliation | 3 Division of Biostatistics, Medical College of Wisconsin 2 Department of Radiology, Medical College of Wisconsin 1 Cardiovascular Division, Medical College of Wisconsin 4 Statistical Genetics Section, University of Alabama at Birmingham |
| AuthorAffiliation_xml | – name: 3 Division of Biostatistics, Medical College of Wisconsin – name: 2 Department of Radiology, Medical College of Wisconsin – name: 1 Cardiovascular Division, Medical College of Wisconsin – name: 4 Statistical Genetics Section, University of Alabama at Birmingham |
| Author_xml | – sequence: 1 givenname: Raymond Q. surname: Migrino fullname: Migrino, Raymond Q. email: rmigrino@mcw.edu organization: Cardiovascular Division, Medical College of Wisconsin, Milwaukee, Wisconsin – sequence: 2 givenname: Kwang Woo surname: Ahn fullname: Ahn, Kwang Woo organization: Division of Biostatistics, Medical College of Wisconsin, Milwaukee, Wisconsin – sequence: 3 givenname: Tejas surname: Brahmbhatt fullname: Brahmbhatt, Tejas organization: Cardiovascular Division, Medical College of Wisconsin, Milwaukee, Wisconsin – sequence: 4 givenname: Leanne surname: Harmann fullname: Harmann, Leanne organization: Cardiovascular Division, Medical College of Wisconsin, Milwaukee, Wisconsin – sequence: 5 givenname: Jason surname: Jurva fullname: Jurva, Jason organization: Cardiovascular Division, Medical College of Wisconsin, Milwaukee, Wisconsin – sequence: 6 givenname: Nicholas M. surname: Pajewski fullname: Pajewski, Nicholas M. organization: Division of Biostatistics, Medical College of Wisconsin, Milwaukee, Wisconsin |
| BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=22009653$$DView record in Pascal Francis https://www.ncbi.nlm.nih.gov/pubmed/19801018$$D View this record in MEDLINE/PubMed |
| BookMark | eNqNk9Fu0zAUhiM0xLrBI4AsJLhrsePGiYUAjbHBpE5D6sqtdeo4rYtrF9tZVZ6LB8RZqw4mIXYVOf7-3z7nPz7KDqyzKsueEzwgmLA3iwEsFxJ8Pcgx5gNcDPCQP8p6pCp5n3BCD7IexjjvczLkh9lRCIu0JKRgT7JDwiucXKpe9msSVNMaq0JArkHXa9f_pJfKBu0sGDSOHrRFZ3LuurO0m3lYzTcoOvTVq1rLiMZqlviY4G8aptrouEHnzhi31naGTmQbFbrcbOUJurANeBmTPQJbo6tV1Ev9E25_TEIn-QgbFTRYNHIzHaKWaLxK-0l76WplEvI0e9yACerZ7nucTc7Prk-_9EdXny9OT0Z9ySiJ_VJKXhclxUNKsQRJmqlUVUkYNDWdsimd5nlOgDNSYloRzmrSDAGXvOFFDpWkxxnb-rZ2BZs1GCNWXi_BbwTBootBLMQuBtHFIHAhUgxJ-H4rXLXTpapl6o-HO7EDLf7esXouZu5G5FXBWNEZvN4ZePejVSGKpQ5SGQNWuTYIVrIK05Im8OU9cOFan6ILIqeJqCiuEvTiz-vcFbEbgwS82gEQJJjGg5U67Lm8q40V3Wlvt5z0LgSvGiF1vM2umxPz364U99QP7eaHrU6lrG-08iJIraxM8-eVjKJ2-qF57B1kmiOdSv2u0rDtW0ZEyAUW4-7hdO8G8_RiStwZvPu3wQMu8Bum2i5n |
| CODEN | AJCDAG |
| CitedBy_id | crossref_primary_10_1016_j_amjcard_2021_07_012 crossref_primary_10_1016_j_echo_2011_09_003 crossref_primary_10_1093_ehjci_jeab053 crossref_primary_10_1097_CRD_0000000000000067 crossref_primary_10_7863_ultra_15_09032 crossref_primary_10_1111_echo_12666 crossref_primary_10_1667_RR3292_1 crossref_primary_10_1016_j_amjcard_2011_03_052 |
| Cites_doi | 10.1111/j.1541-0420.2008.01181.x 10.1016/j.jacc.2005.10.042 10.1016/j.ultrasmedbio.2007.07.018 10.1186/1476-7120-6-17 10.1056/NEJM200011163432003 10.1148/radiol.2302021120 10.2202/1544-6115.1436 10.1007/s00330-005-0052-x 10.1161/01.CIR.100.19.1992 10.1016/j.echo.2004.06.019 10.1161/01.CIR.0000027818.15792.1E 10.1016/S0735-1097(99)00307-1 10.1161/01.CIR.98.11.1078 10.1016/j.euje.2005.07.003 10.1016/j.echo.2005.03.024 10.1016/j.jacc.2007.10.066 10.1016/S0140-6736(03)12389-6 10.1016/S0735-1097(97)00352-5 10.1023/A:1008929526011 10.1080/10976640600572863 10.1016/j.echo.2006.09.011 10.1016/S0735-1097(03)00835-0 10.1161/01.CIR.0000142045.22628.74 10.1016/j.echo.2005.10.005 10.1097/MCA.0b013e32831040a6 10.1093/bioinformatics/bti623 10.1016/j.jacc.2004.02.046 |
| ContentType | Journal Article |
| Copyright | 2009 Elsevier Inc. Elsevier Inc. 2009 INIST-CNRS Copyright Elsevier Sequoia S.A. Oct 15, 2009 2009 Excerpta Medica, Inc. Published by Elsevier Inc. All rights reserved. 2009 |
| Copyright_xml | – notice: 2009 Elsevier Inc. – notice: Elsevier Inc. – notice: 2009 INIST-CNRS – notice: Copyright Elsevier Sequoia S.A. Oct 15, 2009 – notice: 2009 Excerpta Medica, Inc. Published by Elsevier Inc. All rights reserved. 2009 |
| DBID | AAYXX CITATION IQODW CGR CUY CVF ECM EIF NPM 7TS 8FD FR3 K9. M7Z NAPCQ P64 7X8 5PM ADTOC UNPAY |
| DOI | 10.1016/j.amjcard.2009.05.049 |
| DatabaseName | CrossRef Pascal-Francis Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed Physical Education Index Technology Research Database Engineering Research Database ProQuest Health & Medical Complete (Alumni) Biochemistry Abstracts 1 Nursing & Allied Health Premium Biotechnology and BioEngineering Abstracts MEDLINE - Academic PubMed Central (Full Participant titles) Unpaywall for CDI: Periodical Content Unpaywall |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Nursing & Allied Health Premium Technology Research Database Biochemistry Abstracts 1 ProQuest Health & Medical Complete (Alumni) Engineering Research Database Physical Education Index Biotechnology and BioEngineering Abstracts MEDLINE - Academic |
| DatabaseTitleList | Nursing & Allied Health Premium MEDLINE MEDLINE - Academic |
| Database_xml | – sequence: 1 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database – sequence: 3 dbid: UNPAY name: Unpaywall url: https://proxy.k.utb.cz/login?url=https://unpaywall.org/ sourceTypes: Open Access Repository |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Medicine |
| EISSN | 1879-1913 |
| EndPage | 1029 |
| ExternalDocumentID | oai:pubmedcentral.nih.gov:2856659 PMC2856659 1874925371 19801018 22009653 10_1016_j_amjcard_2009_05_049 S0002914909011709 1_s2_0_S0002914909011709 |
| Genre | Comparative Study Research Support, Non-U.S. Gov't Journal Article Research Support, N.I.H., Extramural |
| GrantInformation_xml | – fundername: NCRR NIH HHS grantid: M01 RR000058 – fundername: NCRR NIH HHS grantid: M01-RR00058 – fundername: NHLBI NIH HHS grantid: T32 HL072757 |
| GroupedDBID | --- --K --M .1- .55 .FO .GJ .~1 0R~ 123 1B1 1CY 1P~ 1RT 1~. 1~5 23M 3O- 4.4 457 4G. 53G 5RE 5VS 6J9 7-5 71M 7RV 7X7 88E 8FI 8FJ 8G5 8P~ 9JM AABNK AAEDT AAEDW AAIKJ AAKOC AALRI AAQFI AAQQT AAQXK AATTM AAWTL AAXKI AAXUO AAYWO ABBQC ABFNM ABJNI ABLJU ABMAC ABMZM ABOCM ABPPZ ABUWG ABWVN ABXDB ACDAQ ACGFO ACGFS ACIEU ACIUM ACIWK ACLOT ACPRK ACRLP ACRPL ACVFH ADBBV ADCNI ADEZE ADFRT ADMUD ADNMO ADUKH AEBSH AEIPS AEKER AENEX AEUPX AEVXI AFFNX AFJKZ AFKRA AFPUW AFRAH AFRHN AFTJW AFXIZ AGHFR AGQPQ AGUBO AGYEJ AHHHB AHMBA AIEXJ AIGII AIIUN AIKHN AITUG AJRQY AJUYK AKBMS AKRWK AKYEP ALMA_UNASSIGNED_HOLDINGS AMRAJ ANKPU ANZVX APXCP ASPBG AVWKF AXJTR AZFZN AZQEC BENPR BKEYQ BKOJK BKOMP BLXMC BNPGV BPHCQ BVXVI CCPQU CS3 DWQXO EBS EFJIC EFKBS EFLBG EJD EMOBN EO9 EP2 EP3 EX3 F5P FDB FEDTE FGOYB FIRID FNPLU FYGXN FYUFA G-2 G-Q GBLVA GNUQQ GUQSH HEB HMCUK HMK HMO HVGLF HZ~ IH2 IHE J1W J5H K-O KOM L7B M1P M29 M2O M41 MO0 N9A NAPCQ O-L O9- OA. OAUVE OHT OL~ OVD OZT P-8 P-9 P2P PC. PHGZM PHGZT PJZUB PPXIY PQQKQ PROAC PSQYO Q38 R2- ROL RPZ SAE SDF SDG SEL SES SJN SPCBC SSH SSZ SV3 T5K TEORI TWZ UKHRP UNMZH UV1 WH7 WOW WUQ X7M XPP YFH YOC YQJ YYP YZZ Z5R ZGI ZXP ~G- ~HD 3V. AACTN AAYOK AFCTW AFKWA AJOXV ALIPV AMFUW PKN RIG AAIAV ABLVK ABYKQ AHPSJ AJBFU LCYCR ZA5 AAYXX CITATION PUEGO AGCQF AGRNS IQODW CGR CUY CVF ECM EIF NPM 7TS 8FD FR3 K9. M7Z P64 7X8 5PM ADTOC UNPAY |
| ID | FETCH-LOGICAL-c631t-7cc9d57304330cac1fbce8716afd3b6b3b2221a9617038196d1f4a079f952a8c3 |
| IEDL.DBID | AIKHN |
| ISSN | 0002-9149 1879-1913 |
| IngestDate | Sun Oct 26 02:54:20 EDT 2025 Tue Sep 30 16:56:21 EDT 2025 Sun Sep 28 08:32:23 EDT 2025 Mon Oct 06 18:09:31 EDT 2025 Mon Jul 21 05:59:06 EDT 2025 Mon Jul 21 09:14:52 EDT 2025 Wed Oct 01 05:07:29 EDT 2025 Thu Apr 24 23:11:07 EDT 2025 Fri Feb 23 02:27:29 EST 2024 Sun Feb 23 10:19:02 EST 2025 Tue Oct 14 19:31:09 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 8 |
| Keywords | Sonography Myocardial infarction Echocardiography Acute Cardiovascular disease Coronary heart disease Myocardial disease Modeling Optimization Strain Segmental Circulatory system Cardiology Predictive factor Viability |
| Language | English |
| License | https://www.elsevier.com/tdm/userlicense/1.0 CC BY 4.0 |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c631t-7cc9d57304330cac1fbce8716afd3b6b3b2221a9617038196d1f4a079f952a8c3 |
| Notes | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 content type line 23 |
| OpenAccessLink | https://proxy.k.utb.cz/login?url=https://www.ncbi.nlm.nih.gov/pmc/articles/2856659 |
| PMID | 19801018 |
| PQID | 230378308 |
| PQPubID | 41200 |
| PageCount | 7 |
| ParticipantIDs | unpaywall_primary_10_1016_j_amjcard_2009_05_049 pubmedcentral_primary_oai_pubmedcentral_nih_gov_2856659 proquest_miscellaneous_67680373 proquest_journals_230378308 pubmed_primary_19801018 pascalfrancis_primary_22009653 crossref_citationtrail_10_1016_j_amjcard_2009_05_049 crossref_primary_10_1016_j_amjcard_2009_05_049 elsevier_sciencedirect_doi_10_1016_j_amjcard_2009_05_049 elsevier_clinicalkeyesjournals_1_s2_0_S0002914909011709 elsevier_clinicalkey_doi_10_1016_j_amjcard_2009_05_049 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2009-10-15 |
| PublicationDateYYYYMMDD | 2009-10-15 |
| PublicationDate_xml | – month: 10 year: 2009 text: 2009-10-15 day: 15 |
| PublicationDecade | 2000 |
| PublicationPlace | New York, NY |
| PublicationPlace_xml | – name: New York, NY – name: United States – name: New York |
| PublicationTitle | The American journal of cardiology |
| PublicationTitleAlternate | Am J Cardiol |
| PublicationYear | 2009 |
| Publisher | Elsevier Inc Elsevier Elsevier Limited |
| Publisher_xml | – name: Elsevier Inc – name: Elsevier – name: Elsevier Limited |
| References | Beek, Kuhl, Bondarenko, Twisk, Hofman, van Dockum, Visser, van Rossum (bib21) 2003; 42 Migrino, Zhu, Morker, Brahmbhatt, Bright, Zhao (bib5) 2008; 6 Hoffmann, Stempel, Kuhl, Balzer, Kramer, Krombach, Kelm, Becker (bib3) 2009; 20 Selvanayagam, Kardos, Francis, Wiesmann, Petersen, Taggart, Neubauer (bib25) 2004; 110 Modesto, Cauduro, Dispenzieri, Khandeiria, Belohlavek, Lysyansky, Friedman, Gertz, Abraham (bib28) 2006; 7 Leitman, Lysyansky, Sidenko, Shir, Peleg, Binenbaum, Kaluski, Krakover, Vered (bib27) 2004; 17 Ingkanisorn, Rhoads, Aletras, Kellman, Arai (bib22) 2004; 43 Kim, Fieno, Parrish, Harris, Chen, Simonetti, Bundy, Finn, Klocke, Judd (bib23) 1999; 100 Picano, Sicari, Landi, Cortigiani, Bigi, Coletta, Galati, Heyman, Mattioli, Previtali, Mathias, Dodi, Minardi, Lowenstein, Seveso, Pingitore, Salustri, Raciti (bib16) 1998; 98 (bib14) 2007 Migrino, Zhu, Pajewski, Brahmbhatt, Hoffmann, Zhao (bib1) 2007; 20 Migrino, Aggarwal, Konorev, Brahmbhatt, Bright, Kalyanaraman (bib4) 2008; 34 Lang, Bierig, Devereux, Flachskampf, Foster, Pellikka, Picard, Roman, Seward, Shanewise, Solomon, Spencer, Sutton, Stewart (bib7) 2005; 18 Gerber, Garot, Bluemke, Wu, Lima (bib19) 2002; 106 Sing, Sander, Beerenwinkel, Lengauer (bib13) 2005; 21 Zhu, Zhang, Campagna, Zhao (bib9) 2006; 8 Chen W, Ghosh D, Raghunathan TE, Sargent DJ. Bayesian variable selection with joint modeling of categorical and survival outcomes: an application to individualizing chemotherapy treatment in advanced colorectal cancer. Kuhl, Papavasiliu, Beek, Hofman, Heusen, van Rossum (bib24) 2004; 230 Banerjee, Carlin, Gelfand (bib11) 2003 In press. Lucas, Carvalho, West (bib30) 2009; 8 Bax, Wijns, Cornel, Visser, Boersma, Fioretti (bib17) 1997; 30 Becker, Lenzen, Ocklenburg, Stempel, Kuhl, Neizel, Katoh, Kramann, Wildberger, Kelm, Hoffmann (bib2) 2008; 51 Wagner, Mahrholdt, Holly, Elliott, Regenfus, Parker, Klocke, Bonow, Kim, Judd (bib8) 2003; 361 Lunn, Thomas, Best, Spiegelhalter (bib12) 2000; 10 Migrino (bib15) 2006 Saeed, Lee, Weber, Do, Martin, Ursell, Saloner, Higgins (bib6) 2006; 16 Monin, Garot, Scherrer-Crosbie, Rosso, Duval-Moulin, Dupouy, Teiger, Castaigne, Cachin, Dubois-Rande, Gueret (bib18) 1999; 34 Korinek, Wang, Sengupta, Miyazaki, Kjaergaard, McMahon, Abraham, Belohlavek (bib26) 2005; 18 Kim, Wu, Rafael, Chen, Parker, Simonetti, Klocke, Bonow, Judd (bib10) 2000; 343 Baks, van Geuns, Duncker, Cademartiri, Mollet, Krestin, Serruys, de Feyter (bib20) 2006; 47 Lunn (10.1016/j.amjcard.2009.05.049_bib12) 2000; 10 Migrino (10.1016/j.amjcard.2009.05.049_bib1) 2007; 20 (10.1016/j.amjcard.2009.05.049_bib14) 2007 Bax (10.1016/j.amjcard.2009.05.049_bib17) 1997; 30 Selvanayagam (10.1016/j.amjcard.2009.05.049_bib25) 2004; 110 Zhu (10.1016/j.amjcard.2009.05.049_bib9) 2006; 8 Lucas (10.1016/j.amjcard.2009.05.049_bib30) 2009; 8 Modesto (10.1016/j.amjcard.2009.05.049_bib28) 2006; 7 Monin (10.1016/j.amjcard.2009.05.049_bib18) 1999; 34 Picano (10.1016/j.amjcard.2009.05.049_bib16) 1998; 98 Kuhl (10.1016/j.amjcard.2009.05.049_bib24) 2004; 230 Lang (10.1016/j.amjcard.2009.05.049_bib7) 2005; 18 Hoffmann (10.1016/j.amjcard.2009.05.049_bib3) 2009; 20 Gerber (10.1016/j.amjcard.2009.05.049_bib19) 2002; 106 Saeed (10.1016/j.amjcard.2009.05.049_bib6) 2006; 16 Beek (10.1016/j.amjcard.2009.05.049_bib21) 2003; 42 Sing (10.1016/j.amjcard.2009.05.049_bib13) 2005; 21 Leitman (10.1016/j.amjcard.2009.05.049_bib27) 2004; 17 10.1016/j.amjcard.2009.05.049_bib29 Becker (10.1016/j.amjcard.2009.05.049_bib2) 2008; 51 Wagner (10.1016/j.amjcard.2009.05.049_bib8) 2003; 361 Migrino (10.1016/j.amjcard.2009.05.049_bib4) 2008; 34 Migrino (10.1016/j.amjcard.2009.05.049_bib15) 2006 Migrino (10.1016/j.amjcard.2009.05.049_bib5) 2008; 6 Ingkanisorn (10.1016/j.amjcard.2009.05.049_bib22) 2004; 43 Kim (10.1016/j.amjcard.2009.05.049_bib10) 2000; 343 Banerjee (10.1016/j.amjcard.2009.05.049_bib11) 2003 Korinek (10.1016/j.amjcard.2009.05.049_bib26) 2005; 18 Kim (10.1016/j.amjcard.2009.05.049_bib23) 1999; 100 Baks (10.1016/j.amjcard.2009.05.049_bib20) 2006; 47 |
| References_xml | – volume: 47 start-page: 721 year: 2006 end-page: 725 ident: bib20 article-title: Prediction of left ventricular function after drug-eluting stent implantation for chronic total coronary occlusions publication-title: J Am Coll Cardiol – volume: 34 start-page: 1012 year: 1999 end-page: 1019 ident: bib18 article-title: Prediction of functional recovery of viable myocardium after delayed revascularization in postinfarction patients: accuracy of dobutamine stress echocardiography and influence of long-term vessel patency publication-title: J Am Coll Cardiol – volume: 30 start-page: 1451 year: 1997 end-page: 1460 ident: bib17 article-title: Accuracy of currently available techniques for prediction of functional recovery after revascularization in patients with left ventricular dysfunction due to chronic coronary artery disease: comparison of pooled data publication-title: J Am Coll Cardiol – year: 2003 ident: bib11 article-title: Hierarchical Modeling and Analysis for Spatial Data – volume: 43 start-page: 2253 year: 2004 end-page: 2259 ident: bib22 article-title: Gadolinium delayed enhancement cardiovascular magnetic resonance correlates with clinical measures of myocardial infarction publication-title: J Am Coll Cardiol – volume: 34 start-page: 208 year: 2008 end-page: 214 ident: bib4 article-title: Early detection of doxorubicin cardiomyopathy using two-dimensional strain echocardiography publication-title: Ultrasound Med Biol – volume: 16 start-page: 827 year: 2006 end-page: 836 ident: bib6 article-title: Scarred myocardium imposes additional burden on remote viable myocardium despite a reduction in the extent of area with late contrast MR enhancement publication-title: Eur Radiol – volume: 7 start-page: 315 year: 2006 end-page: 321 ident: bib28 article-title: Two-dimensional acoustic pattern derived strain parameters closely correlated with one-dimensional tissue Doppler derived strain measurements publication-title: Eur J Echocardiogr – volume: 361 start-page: 374 year: 2003 end-page: 379 ident: bib8 article-title: Contrast-enhanced MRI and routine single photon emission computed tomography (SPECT) perfusion imaging for detection of subendocardial myocardial infarcts: an imaging study publication-title: Lancet – reference: Chen W, Ghosh D, Raghunathan TE, Sargent DJ. Bayesian variable selection with joint modeling of categorical and survival outcomes: an application to individualizing chemotherapy treatment in advanced colorectal cancer. – reference: . In press. – volume: 20 start-page: 342 year: 2007 end-page: 351 ident: bib1 article-title: Assessment of segmental myocardial viability using regional 2-dimensional strain echocardiography publication-title: J Am Soc Echocardiogr – volume: 110 start-page: 1535 year: 2004 end-page: 1541 ident: bib25 article-title: Value of delayed-enhancement cardiovascular magnetic resonance imaging in predicting myocardial viability after surgical revascularization publication-title: Circulation – volume: 230 start-page: 576 year: 2004 end-page: 582 ident: bib24 article-title: Myocardial viability: rapid assessment with delayed contrast-enhanced MR imaging with three-dimensional inversion-recovery prepared pulse sequence publication-title: Radiology – volume: 21 start-page: 3940 year: 2005 end-page: 3941 ident: bib13 article-title: ROCR: visualizing classifier performance in R publication-title: Bioinformatics – volume: 17 start-page: 1021 year: 2004 end-page: 1029 ident: bib27 article-title: Two-dimensional strain-a novel software for real-time quantitative echocardiographic assessment of myocardial function publication-title: J Am Soc Echocardiogr – volume: 106 start-page: 1083 year: 2002 end-page: 1089 ident: bib19 article-title: Accuracy of contrast-enhanced magnetic resonance imaging in predicting improvement of regional myocardial function in patients after acute myocardial infarction publication-title: Circulation – year: 2007 ident: bib14 article-title: R: A Language and Environment for Statistical Computing – volume: 6 start-page: 17 year: 2008 ident: bib5 article-title: Myocardial dysfunction in the periinfarct and remote regions following anterior infarction in rats quantified by 2D radial strain echocardiography: an observational cohort study publication-title: Cardiovasc Ultrasound – volume: 98 start-page: 1078 year: 1998 end-page: 1084 ident: bib16 article-title: Prognostic value of myocardial viability in medically treated patients with global left ventricular dysfunction early after an acute uncomplicated myocardial infarction: a dobutamine stress echocardiographic study publication-title: Circulation – volume: 343 start-page: 1445 year: 2000 end-page: 1453 ident: bib10 article-title: The use of contrast-enhanced magnetic resonance imaging to identify reversible myocardial dysfunction publication-title: N Engl J Med – start-page: 126 year: 2006 end-page: 144 ident: bib15 article-title: Assessment of myocardial viability in ischemic cardiomyopathy publication-title: Heart Failure: A Combined Medical and Surgical Approach – volume: 8 start-page: 461 year: 2006 end-page: 467 ident: bib9 article-title: Assessment of reperfused myocardial infarction in the hyper-acute phase with delayed enhancement magnetic resonance imaging publication-title: J Cardiovasc Magn Reson – volume: 51 start-page: 1473 year: 2008 end-page: 1481 ident: bib2 article-title: Myocardial deformation imaging based on ultrasonic pixel tracking to identify reversible myocardial dysfunction publication-title: J Am Coll Cardiol – volume: 42 start-page: 895 year: 2003 end-page: 901 ident: bib21 article-title: Delayed contrast-enhanced magnetic resonance imaging for the prediction of regional functional improvement after acute myocardial infarction publication-title: J Am Coll Cardiol – volume: 18 start-page: 1247 year: 2005 end-page: 1253 ident: bib26 article-title: Two-dimensional strain—a Doppler-independent ultrasound method for quantitation of regional deformation: validation in vitro and in vivo publication-title: J Am Soc Echocardiogr – volume: 8 year: 2009 ident: bib30 article-title: A Bayesian analysis strategy for cross-study translation of gene expression biomarkers publication-title: Stat Appl Genet Mol Biol – volume: 18 start-page: 1440 year: 2005 end-page: 1463 ident: bib7 article-title: Recommendations for chamber quantification: a report from the American Society of Echocardiography's Guidelines and Standards Committee and the Chamber Quantification Writing Group, developed in conjunction with the European Association of Echocardiography, a branch of the European Society of Cardiology publication-title: J Am Soc Echocardiogr – volume: 10 start-page: 325 year: 2000 end-page: 337 ident: bib12 article-title: WinBUGS—a Bayesian modeling framework: concepts, structure and extensibility publication-title: Stat Comput – volume: 100 start-page: 1992 year: 1999 end-page: 2002 ident: bib23 article-title: Relationship of MRI delayed contrast enhancement to irreversible injury, infarct age, and contractile function publication-title: Circulation – volume: 20 start-page: 21 year: 2009 end-page: 26 ident: bib3 article-title: Integrated analysis of cardiac tissue structure and function for improved identification of reversible myocardial dysfunction publication-title: Coron Artery Dis – ident: 10.1016/j.amjcard.2009.05.049_bib29 doi: 10.1111/j.1541-0420.2008.01181.x – volume: 47 start-page: 721 year: 2006 ident: 10.1016/j.amjcard.2009.05.049_bib20 article-title: Prediction of left ventricular function after drug-eluting stent implantation for chronic total coronary occlusions publication-title: J Am Coll Cardiol doi: 10.1016/j.jacc.2005.10.042 – volume: 34 start-page: 208 year: 2008 ident: 10.1016/j.amjcard.2009.05.049_bib4 article-title: Early detection of doxorubicin cardiomyopathy using two-dimensional strain echocardiography publication-title: Ultrasound Med Biol doi: 10.1016/j.ultrasmedbio.2007.07.018 – volume: 6 start-page: 17 year: 2008 ident: 10.1016/j.amjcard.2009.05.049_bib5 article-title: Myocardial dysfunction in the periinfarct and remote regions following anterior infarction in rats quantified by 2D radial strain echocardiography: an observational cohort study publication-title: Cardiovasc Ultrasound doi: 10.1186/1476-7120-6-17 – volume: 343 start-page: 1445 year: 2000 ident: 10.1016/j.amjcard.2009.05.049_bib10 article-title: The use of contrast-enhanced magnetic resonance imaging to identify reversible myocardial dysfunction publication-title: N Engl J Med doi: 10.1056/NEJM200011163432003 – volume: 230 start-page: 576 year: 2004 ident: 10.1016/j.amjcard.2009.05.049_bib24 article-title: Myocardial viability: rapid assessment with delayed contrast-enhanced MR imaging with three-dimensional inversion-recovery prepared pulse sequence publication-title: Radiology doi: 10.1148/radiol.2302021120 – volume: 8 year: 2009 ident: 10.1016/j.amjcard.2009.05.049_bib30 article-title: A Bayesian analysis strategy for cross-study translation of gene expression biomarkers publication-title: Stat Appl Genet Mol Biol doi: 10.2202/1544-6115.1436 – volume: 16 start-page: 827 year: 2006 ident: 10.1016/j.amjcard.2009.05.049_bib6 article-title: Scarred myocardium imposes additional burden on remote viable myocardium despite a reduction in the extent of area with late contrast MR enhancement publication-title: Eur Radiol doi: 10.1007/s00330-005-0052-x – volume: 100 start-page: 1992 year: 1999 ident: 10.1016/j.amjcard.2009.05.049_bib23 article-title: Relationship of MRI delayed contrast enhancement to irreversible injury, infarct age, and contractile function publication-title: Circulation doi: 10.1161/01.CIR.100.19.1992 – volume: 17 start-page: 1021 year: 2004 ident: 10.1016/j.amjcard.2009.05.049_bib27 article-title: Two-dimensional strain-a novel software for real-time quantitative echocardiographic assessment of myocardial function publication-title: J Am Soc Echocardiogr doi: 10.1016/j.echo.2004.06.019 – volume: 106 start-page: 1083 year: 2002 ident: 10.1016/j.amjcard.2009.05.049_bib19 article-title: Accuracy of contrast-enhanced magnetic resonance imaging in predicting improvement of regional myocardial function in patients after acute myocardial infarction publication-title: Circulation doi: 10.1161/01.CIR.0000027818.15792.1E – volume: 34 start-page: 1012 year: 1999 ident: 10.1016/j.amjcard.2009.05.049_bib18 article-title: Prediction of functional recovery of viable myocardium after delayed revascularization in postinfarction patients: accuracy of dobutamine stress echocardiography and influence of long-term vessel patency publication-title: J Am Coll Cardiol doi: 10.1016/S0735-1097(99)00307-1 – volume: 98 start-page: 1078 year: 1998 ident: 10.1016/j.amjcard.2009.05.049_bib16 article-title: Prognostic value of myocardial viability in medically treated patients with global left ventricular dysfunction early after an acute uncomplicated myocardial infarction: a dobutamine stress echocardiographic study publication-title: Circulation doi: 10.1161/01.CIR.98.11.1078 – volume: 7 start-page: 315 year: 2006 ident: 10.1016/j.amjcard.2009.05.049_bib28 article-title: Two-dimensional acoustic pattern derived strain parameters closely correlated with one-dimensional tissue Doppler derived strain measurements publication-title: Eur J Echocardiogr doi: 10.1016/j.euje.2005.07.003 – volume: 18 start-page: 1247 year: 2005 ident: 10.1016/j.amjcard.2009.05.049_bib26 article-title: Two-dimensional strain—a Doppler-independent ultrasound method for quantitation of regional deformation: validation in vitro and in vivo publication-title: J Am Soc Echocardiogr doi: 10.1016/j.echo.2005.03.024 – volume: 51 start-page: 1473 year: 2008 ident: 10.1016/j.amjcard.2009.05.049_bib2 article-title: Myocardial deformation imaging based on ultrasonic pixel tracking to identify reversible myocardial dysfunction publication-title: J Am Coll Cardiol doi: 10.1016/j.jacc.2007.10.066 – volume: 361 start-page: 374 year: 2003 ident: 10.1016/j.amjcard.2009.05.049_bib8 article-title: Contrast-enhanced MRI and routine single photon emission computed tomography (SPECT) perfusion imaging for detection of subendocardial myocardial infarcts: an imaging study publication-title: Lancet doi: 10.1016/S0140-6736(03)12389-6 – start-page: 126 year: 2006 ident: 10.1016/j.amjcard.2009.05.049_bib15 article-title: Assessment of myocardial viability in ischemic cardiomyopathy – volume: 30 start-page: 1451 year: 1997 ident: 10.1016/j.amjcard.2009.05.049_bib17 article-title: Accuracy of currently available techniques for prediction of functional recovery after revascularization in patients with left ventricular dysfunction due to chronic coronary artery disease: comparison of pooled data publication-title: J Am Coll Cardiol doi: 10.1016/S0735-1097(97)00352-5 – year: 2007 ident: 10.1016/j.amjcard.2009.05.049_bib14 – volume: 10 start-page: 325 year: 2000 ident: 10.1016/j.amjcard.2009.05.049_bib12 article-title: WinBUGS—a Bayesian modeling framework: concepts, structure and extensibility publication-title: Stat Comput doi: 10.1023/A:1008929526011 – volume: 8 start-page: 461 year: 2006 ident: 10.1016/j.amjcard.2009.05.049_bib9 article-title: Assessment of reperfused myocardial infarction in the hyper-acute phase with delayed enhancement magnetic resonance imaging publication-title: J Cardiovasc Magn Reson doi: 10.1080/10976640600572863 – volume: 20 start-page: 342 year: 2007 ident: 10.1016/j.amjcard.2009.05.049_bib1 article-title: Assessment of segmental myocardial viability using regional 2-dimensional strain echocardiography publication-title: J Am Soc Echocardiogr doi: 10.1016/j.echo.2006.09.011 – volume: 42 start-page: 895 year: 2003 ident: 10.1016/j.amjcard.2009.05.049_bib21 article-title: Delayed contrast-enhanced magnetic resonance imaging for the prediction of regional functional improvement after acute myocardial infarction publication-title: J Am Coll Cardiol doi: 10.1016/S0735-1097(03)00835-0 – volume: 110 start-page: 1535 year: 2004 ident: 10.1016/j.amjcard.2009.05.049_bib25 article-title: Value of delayed-enhancement cardiovascular magnetic resonance imaging in predicting myocardial viability after surgical revascularization publication-title: Circulation doi: 10.1161/01.CIR.0000142045.22628.74 – year: 2003 ident: 10.1016/j.amjcard.2009.05.049_bib11 – volume: 18 start-page: 1440 year: 2005 ident: 10.1016/j.amjcard.2009.05.049_bib7 publication-title: J Am Soc Echocardiogr doi: 10.1016/j.echo.2005.10.005 – volume: 20 start-page: 21 year: 2009 ident: 10.1016/j.amjcard.2009.05.049_bib3 article-title: Integrated analysis of cardiac tissue structure and function for improved identification of reversible myocardial dysfunction publication-title: Coron Artery Dis doi: 10.1097/MCA.0b013e32831040a6 – volume: 21 start-page: 3940 year: 2005 ident: 10.1016/j.amjcard.2009.05.049_bib13 article-title: ROCR: visualizing classifier performance in R publication-title: Bioinformatics doi: 10.1093/bioinformatics/bti623 – volume: 43 start-page: 2253 year: 2004 ident: 10.1016/j.amjcard.2009.05.049_bib22 article-title: Gadolinium delayed enhancement cardiovascular magnetic resonance correlates with clinical measures of myocardial infarction publication-title: J Am Coll Cardiol doi: 10.1016/j.jacc.2004.02.046 |
| SSID | ssj0001156 |
| Score | 1.9983948 |
| Snippet | Viability assessment after acute myocardial infarction (MI) is important to guide revascularization. Two-dimensional strain echocardiography was shown to... Viability assessment following acute myocardial infarction (MI) is important to guide revascularization. Two-dimensional strain echocardiography (2DSE) was... |
| SourceID | unpaywall pubmedcentral proquest pubmed pascalfrancis crossref elsevier |
| SourceType | Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 1023 |
| SubjectTerms | Bayes Theorem Bayesian analysis Biological and medical sciences Cardiology Cardiology. Vascular system Cardiovascular Cardiovascular system Coronary heart disease Female Heart Heart attacks Humans Investigative techniques, diagnostic techniques (general aspects) Male Medical sciences Middle Aged Myocardial Contraction - physiology Myocardial Infarction - diagnostic imaging Myocardial Infarction - mortality Myocardial Infarction - physiopathology Myocarditis. Cardiomyopathies Optimization Predictive Value of Tests Reproducibility of Results Sensitivity and Specificity Ultrasonic imaging Ultrasonic investigative techniques Ultrasonography Ventricular Function, Left - physiology |
| SummonAdditionalLinks | – databaseName: Unpaywall dbid: UNPAY link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3db9MwELdGJwES4nNAGQw_8Jo0ieN8PBZYNRAdE13ReLIc14aWNqmWVFP5u_gDucvXKFTa9tIX-5fUzt35Tr77HSFvQmkCTzrKkj7EJr72tBVFhlscnFMQqUB6GgPF4XFwNPY_nvGzHeI2tTBl0r5KpnY6X9jp9EeZW7lcqF6TJ9bzIvBAeHyL7MJv4HTI7vj4pP-tcXNjt3R5sYm2BbEIu6za6c1suZgp2PiappLbDlJobj-P7i1lDrtkqvYW2_zP_9Mo76zSpVxfyPn8rzNq8IB8aVZXpab8tFdFYqtf_xA_3mj5D8n92mOl_WroEdnR6WNye1jfyT8hv8e5Nqs5mkyaGXp6kVnvsWVARfdBR2UTCnoIZlaVua8VRTYtMnpyjg8p6Eh_r1oM0K_TijZ8TQcgn9kFnKu0r1aFpsN1BYdJH1ID2okCRWU6oZ_B6C3qalJaZkDQt3KtsTiUfirrm6aKYudlxGLrNyzA3yPjweHpuyOr7gVhqYC5hRUqFU84mCOfMUdJ5ZpEaQz2pJmwJEhYAo6OK2Pkl8cgNJi4xpdOGJuYezJS7CnppFmqnxPqcRkmSjF4gPFVgBnjscNVxLRy3UlgusRvJEKomigdt2oumoy4magFCZt4xsLhAgSpS-wWtqyYQq4CBI24iaYMFgy3gLPsKmC4Dajz2vzkwhW5JxwxQo1AhXCwwDh0ABm1yNrDqjyn67z0YEMj2jV6OCngrEv2GxUR7R-BAJeFEXOiLnndjoIBw1spmepslYsAAl6YBPhnlTpd7l4cIQMiYMMNRWsnIDX65gioTEmRXmtJl_RalbzeR3lxY8Q-uVveMGKWE39JOsX5Sr8CR7VIDmrT9Adwb5g9 priority: 102 providerName: Unpaywall |
| Title | Usefulness of Two-Dimensional Strain Echocardiography to Predict Segmental Viability Following Acute Myocardial Infarction and Optimization Using Bayesian Logistic Spatial Modeling |
| URI | https://www.clinicalkey.com/#!/content/1-s2.0-S0002914909011709 https://www.clinicalkey.es/playcontent/1-s2.0-S0002914909011709 https://dx.doi.org/10.1016/j.amjcard.2009.05.049 https://www.ncbi.nlm.nih.gov/pubmed/19801018 https://www.proquest.com/docview/230378308 https://www.proquest.com/docview/67680373 https://pubmed.ncbi.nlm.nih.gov/PMC2856659 https://www.ncbi.nlm.nih.gov/pmc/articles/2856659 |
| UnpaywallVersion | submittedVersion |
| Volume | 104 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVESC databaseName: Elsevier SD Complete Freedom Collection [SCCMFC] customDbUrl: eissn: 1879-1913 dateEnd: 20231015 omitProxy: true ssIdentifier: ssj0001156 issn: 1879-1913 databaseCode: ACRLP dateStart: 19950101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier – providerCode: PRVESC databaseName: Science Direct customDbUrl: eissn: 1879-1913 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0001156 issn: 1879-1913 databaseCode: .~1 dateStart: 19950101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier – providerCode: PRVESC databaseName: ScienceDirect Journal Collection customDbUrl: eissn: 1879-1913 dateEnd: 20231015 omitProxy: true ssIdentifier: ssj0001156 issn: 1879-1913 databaseCode: AIKHN dateStart: 19950101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier – providerCode: PRVLSH databaseName: Elsevier Journals customDbUrl: mediaType: online eissn: 1879-1913 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0001156 issn: 1879-1913 databaseCode: AKRWK dateStart: 19580101 isFulltext: true providerName: Library Specific Holdings |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3db9MwELdGJwESQnxTBsUPvKbNp5M8lrKqg7VUbEXjyXJcG1p1SbWmqvrCX8UfyF3iZFSrtImnSokvTc7nn-_ku98R8iEUmrnClpbwITbxlausKNKBFYBzCibFhKswUByO2GDif74ILg5Ir6qFwbRKg_0lphdoba50jDY7y9kMa3xtNwYH38bqyRCL-A5h_4miBjnsnnwZjGpABqeHVV4wClwX8nTmbXE5lzAXhrkyaNvIqrl_i3q0FCtQnC47XuxzSW9mVj5Yp0ux3YjF4p9tq_-EPDb-Ju2Wn_SUHKj0Gbk_NCfqz8mfyUrp9QIBj2aanm8y6xMS_pdkHfSsaCFBjwEkZZG5WhJc0zyj4yt8SE7P1M-yQQD9PitJv7e0D9aVbWBXpF25zhUdbktxGHSSalhbaA5UpFP6FSDr0tSC0iJ_gX4UW4WlnfS0qE6aSYp9k1EWG7dh-fwLMukfn_cGlunkYEnmObkVShlPAwAT3_NsKaSjE6kwVBN66iUs8RJwUxwRIzs8hpBs6mhf2GGs48AVkfRekkaapeo1oW4gwkRKDx6gfckw3zu2Axl5SjrOlOkm8avJ49LQnKOqFrzKZ5tzM-fYgjPmdsBhzpukXYstS56P2wRYZRm8KmIF2OWwE90mGO4TVCsDHivu8JXLbX7DwJskqiV31shd_rS1Y7z1N7o4iAVekxxV1szrF4Hw1Asjz46a5H19F-AHz5REqrL1ijMIV2EQyL8qLf9ae3GE_IUgG-6siXoAEpvv3klnvwqCczeCICOAl-7Uq-duk_Lm_zV0RB4WB4WYrBS8JY38aq3egb-ZJy1yr_3baQGq9L6djlsGXeB3Mhp3f_wF3uyIew |
| linkProvider | Elsevier |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9swDBaKDlgHDMPey7q1OuzqxC_J9rHrGqRb0g1oMvQmyLLUJUjtoHYQ5LJftR840q8saIAWu9qiHxT1iYTIj4R8CqThrrSVJX2ITXztaisMDbMYOKdgUly6GgPF0QUfTPyvV-xqj5w2tTCYVlljf4XpJVrXV3q1NnuL6RRrfG03AgffxurJAIv4HvnMDTAC6_7e5HmAy8MbHxiHb8p4erOuvJkpmImat5J1beTU3L1BPV3IHNRmqn4XuxzSu3mVB8t0IdcrOZ__s2n1n5NntbdJT6ofekH2dPqSPB7V5-mvyJ9Jrs1yjnBHM0PHq8z6gnT_FVUHvSwbSNAzgEhV5q1W9Na0yOiPW3xIQS_1ddUegP6cVpTfa9oH28pWsCfSE7UsNB2tK3EYdJ4aWFloDFSmCf0OgHVTV4LSMnuBfpZrjYWddFjWJk0Vxa7JKItt27B4_jWZ9M_GpwOr7uNgKe45hRUoFSUMoMT3PFtJ5ZhYaQzUpEm8mMdeDE6KIyPkhscAkieO8aUdRCZirgyV94bsp1mq3xHqMhnESnnwAOMrjtnekc1U6GnlOAk3HeI3kydUTXKOqpqLJpttJuo5xwackbCZgDnvkG4rtqhYPu4T4I1liKaEFUBXwD50n2CwS1DnNXTkwhG5K2xxx7w7JGwlt1bIQ156tGW87T-6OIgzr0MOG2sW7YdAcOoFoWeHHXLc3gXwwRMlmepsmQsOwSoMAvm3leVvtBeFyF4IssHWmmgHIK359p10-qukN3dDCDEYfHSvXT0Pm5T3_6-hY3IwGI-GYnh-8e2QPCmPDDFtiX0g-8XtUn8Ez7OIj0pk-QvO_IX- |
| linkToUnpaywall | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3db9MwELdGJwES4nNAGQw_8Jo0ieN8PBZYNRAdE13ReLIc14aWNqmWVFP5u_gDucvXKFTa9tIX-5fUzt35Tr77HSFvQmkCTzrKkj7EJr72tBVFhlscnFMQqUB6GgPF4XFwNPY_nvGzHeI2tTBl0r5KpnY6X9jp9EeZW7lcqF6TJ9bzIvBAeHyL7MJv4HTI7vj4pP-tcXNjt3R5sYm2BbEIu6za6c1suZgp2PiappLbDlJobj-P7i1lDrtkqvYW2_zP_9Mo76zSpVxfyPn8rzNq8IB8aVZXpab8tFdFYqtf_xA_3mj5D8n92mOl_WroEdnR6WNye1jfyT8hv8e5Nqs5mkyaGXp6kVnvsWVARfdBR2UTCnoIZlaVua8VRTYtMnpyjg8p6Eh_r1oM0K_TijZ8TQcgn9kFnKu0r1aFpsN1BYdJH1ID2okCRWU6oZ_B6C3qalJaZkDQt3KtsTiUfirrm6aKYudlxGLrNyzA3yPjweHpuyOr7gVhqYC5hRUqFU84mCOfMUdJ5ZpEaQz2pJmwJEhYAo6OK2Pkl8cgNJi4xpdOGJuYezJS7CnppFmqnxPqcRkmSjF4gPFVgBnjscNVxLRy3UlgusRvJEKomigdt2oumoy4magFCZt4xsLhAgSpS-wWtqyYQq4CBI24iaYMFgy3gLPsKmC4Dajz2vzkwhW5JxwxQo1AhXCwwDh0ABm1yNrDqjyn67z0YEMj2jV6OCngrEv2GxUR7R-BAJeFEXOiLnndjoIBw1spmepslYsAAl6YBPhnlTpd7l4cIQMiYMMNRWsnIDX65gioTEmRXmtJl_RalbzeR3lxY8Q-uVveMGKWE39JOsX5Sr8CR7VIDmrT9Adwb5g9 |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Usefulness+of+Two-Dimensional+Strain+Echocardiography+to+Predict+Segmental+Viability+Following+Acute+Myocardial+Infarction+and+Optimization+Using+Bayesian+Logistic+Spatial+Modeling&rft.jtitle=The+American+journal+of+cardiology&rft.au=Migrino%2C+Raymond+Q.%2C+MD&rft.au=Ahn%2C+Kwang+Woo%2C+PhD&rft.au=Brahmbhatt%2C+Tejas%2C+MD&rft.au=Harmann%2C+Leanne%2C+BA&rft.date=2009-10-15&rft.issn=0002-9149&rft.volume=104&rft.issue=8&rft.spage=1023&rft.epage=1029&rft_id=info:doi/10.1016%2Fj.amjcard.2009.05.049&rft.externalDBID=ECK1-s2.0-S0002914909011709&rft.externalDocID=1_s2_0_S0002914909011709 |
| thumbnail_m | http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=https%3A%2F%2Fcdn.clinicalkey.com%2Fck-thumbnails%2F00029149%2FS0002914909X00184%2Fcov150h.gif |